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A tale of two methods: comparing regression and instrumental variables estimates of the effects of preschool child care type on the subsequent externalizing behavior of children in low-income families. | LitMetric

AI Article Synopsis

  • Researchers used instrumental variables (IV) techniques to analyze data from employment-focused experiments to understand how different types of preschool childcare affect the behavior of low-income children.
  • While ordinary least squares (OLS) regression previously suggested a small positive link between center-based care and externalizing behaviors, the IV approach showed that children who attended center-based care reported fewer behavioral problems when starting elementary school.
  • The study emphasizes the importance of using different analytical methods to draw causal conclusions in developmental research, particularly regarding the social behavior of children from low-income backgrounds.

Article Abstract

We apply instrumental variables (IV) techniques to a pooled data set of employment-focused experiments to examine the relation between type of preschool childcare and subsequent externalizing problem behavior for a large sample of low-income children. To assess the potential usefulness of this approach for addressing biases that can confound causal inferences in child care research, we compare instrumental variables results with those obtained using ordinary least squares (OLS) regression. We find that our OLS estimates concur with prior studies showing small positive associations between center-based care and later externalizing behavior. By contrast, our IV estimates indicate that preschool-aged children with center care experience are rated by mothers and teachers as having fewer externalizing problems on entering elementary school than their peers who were not in child care as preschoolers. Findings are discussed in relation to the literature on associations between different types of community-based child care and children's social behavior, particularly within low-income populations. Moreover, we use this study to highlight the relative strengths and weaknesses of each analytic method for addressing causal questions in developmental research.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3263530PMC
http://dx.doi.org/10.1037/a0020384DOI Listing

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